Due to increasing amounts of data and compute resources, deep learning achieves many
successes in various domains. The application of deep learning on the mobile and
embedded devices is taken more and more attentions, benchmarking and ranking the AI
abilities of mobile and embedded devices becomes an urgent problem to be solved.
Considering the model diversity and framework diversity, we propose a benchmark suite,
AIoTBench, which focuses on the evaluation of the inference abilities of mobile and …